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A mathematical model for file fragment diffusion and a neural predictor to manage priority queues over BitTorrent

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Title: A mathematical model for file fragment diffusion and a neural predictor to manage priority queues over BitTorrent

Creator:

Napoli, Christian ; Pappalardo, Giuseppe ; Tramontana, Emiliano

Resource Type:

artykuł

Contributor:

Korbicz, Józef (1951- ) - red. ; Uciński, Dariusz - red.

Group publication title:

AMCS, Volume 26 (2016)

Abstract:

BitTorrent splits the files that are shared on a P2P network into fragments and then spreads these by giving the highest priority to the rarest fragment. We propose a mathematical model that takes into account several factors such as the peer distance, communication delays, and file fragment availability in a future period also by using a neural network module designed to model the behaviour of the peers. The ensemble comprising the proposed mathematical model and a neural network provides a solution for choosing the file fragments that have to be spread first, in order to ensure their continuous availability, taking into account that some peers will disconnect.

Publisher:

Zielona Góra: Uniwersytet Zielonogórski

Resource Identifier:

oai:zbc.uz.zgora.pl:79120

DOI:

10.1515/amcs-2016-0010

Pages:

147-160

Source:

AMCS, volume 26, number 1 (2016) ; click here to follow the link

Language:

eng

Rights:

Biblioteka Uniwersytetu Zielonogórskiego

Subject and keywords:

P2P model neural networks wavelets diffusion file sharing

Object collections:

Last modified:

Nov 5, 2024

In our library since:

May 9, 2024

Number of object content hits:

24

All available object's versions:

https://zbc.uz.zgora.pl/publication/88947

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Edition name Date
A mathematical model for file fragment diffusion and a neural predictor to manage priority queues over BitTorrent Nov 5, 2024

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